// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// #The file has been adapted from pytorch project
// #Licensed under  BSD-style license -
// https://github.com/pytorch/pytorch/blob/main/LICENSE

#pragma once

#include <ATen/cuda/Exceptions.h>
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
#include <c10/cuda/CUDAStream.h>
#include <cuda_runtime_api.h>
#include "paddle/phi/backends/gpu/gpu_info.h"

namespace at::cuda {
cudaDeviceProp* getDeviceProperties(c10::DeviceIndex device) {
  return const_cast<cudaDeviceProp*>(
      &phi::backends::gpu::GetDeviceProperties(device));
}

cudaDeviceProp* getCurrentDeviceProperties() {
  auto device = phi::backends::gpu::GetCurrentDeviceId();
  return getDeviceProperties(device);
}
}  // namespace at::cuda
#endif
